Publication Date
In 2025 | 1 |
Since 2024 | 10 |
Descriptor
Source
Author
Abdullah K. Shehabat | 1 |
Ali M. Alnawaiseh | 1 |
Andrew Schenck | 1 |
Annita Stell | 1 |
Baker Bani Khair | 1 |
Boyd H. Davis | 1 |
Emily Landau | 1 |
Firas Abu Hardan | 1 |
Hao Tran | 1 |
Hong Li | 1 |
Issam Mostafa Taamneh | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 7 |
Reports - Descriptive | 3 |
Tests/Questionnaires | 1 |
Education Level
Elementary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Wechsler Abbreviated Scale of… | 1 |
Wechsler Adult Intelligence… | 1 |
What Works Clearinghouse Rating
Hao Tran; Annita Stell – Australian Review of Applied Linguistics, 2024
Generative Artificial Intelligence (GenAI) has been offering unprecedented opportunities for language education. However, its capacity to embrace linguistic diversity, particularly for learners of dialect-rich languages like Vietnamese and Mandarin, remains underexamined. Without careful consideration, GenAI risks reinforcing language hegemonies,…
Descriptors: Artificial Intelligence, Land Settlement, Vietnamese, Dialects
J. A. Rice; Trini Stickle – Across the Disciplines, 2024
Comparing legal, policy, and statute writing--from stone records of ancient Britain civil servants to opinions of the U.S. Supreme Court--this article demonstrates how weaving threads of textual language variation and change can innervate writing in the disciplines and history of the English language courses, particularly courses designated for…
Descriptors: Writing Instruction, Writing Across the Curriculum, Legal Problems, Jargon
Boyd H. Davis; Meredith Troutman-Jordan; Margaret Maclagan – International Journal of Language & Communication Disorders, 2024
Background: This study reports on new contexts in which formulaic language has been used in the years since 2013 when the last synthesis was carried out. The background presents an old but still useful definition and lists themes under which research was arranged in 2013 and which continue to be used. Aims: This study has a particular emphasis on…
Descriptors: Phrase Structure, Language Variation, Computational Linguistics, Pragmatics
Baker Bani Khair; Abdullah K. Shehabat; Ali M. Alnawaiseh; Issam Mostafa Taamneh; Tariq Jameel Alsoud; Firas Abu Hardan – Eurasian Journal of Applied Linguistics, 2024
Despite the progress in information technology, artificial intelligence as well as all kinds of machine translation software, we found that to dynamically capture the essence and the spirit of the cultural item, one needs to resort to the human mind rather than to the machine that only decodes words away from their shades of meaning. The objective…
Descriptors: Translation, Semantics, Artificial Intelligence, Computational Linguistics
Kristof Savski – LEARN Journal: Language Education and Acquisition Research Network, 2024
Reflecting on recent social transformations and technological innovations, this article argues that a holistic change is needed in the scope and identity of English language teaching. I argue that we must embrace a move away from teaching "just English", that is, concentrating on instruction that targets language in isolation from other…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Artificial Intelligence
Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Sue-Jin Lee – CATESOL Journal, 2024
The emergence of AI writing assistants has raised concerns about their potential impact on language diversity, preservation, and education. This paper examines the capabilities and limitations of AI writing assistants in generating dialectic text in response to academic and professional writing prompts. The study uses a concordance tool to conduct…
Descriptors: Writing Assignments, Artificial Intelligence, Computer Software, Intelligent Tutoring Systems
Andrew Schenck – International Journal of Adult Education and Technology, 2024
Power distance (PD), a cultural value denoting acceptance of asymmetrical power relationships, influences the force of rhetoric used by a writer to address their reader. However, AI technologies such as ChatGPT lack an explicit awareness of PD, which could affect the quality of AI-generated persuasive texts used for language learning. To…
Descriptors: Power Structure, Artificial Intelligence, Computer Software, Persuasive Discourse